/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.ml.feature

import org.apache.spark.ml.linalg.MatrixUDT
import org.apache.spark.sql.DataFrame
import org.apache.spark.sql.types.{ArrayType, StructField, StructType}

/**
 * Created by fchen on 2018/8/26.
 */
object PythonBatchPredictDataSchema {
  /**
   * 数据结构, size = batchSize
   * {
   *   originalDatas: indexSeq
   *   combineFeatures: Matrix
   * }
   */
  val newSchema: (DataFrame) => StructType = df => {
    StructType(Seq(
      StructField("originalData", ArrayType(df.schema)),
      StructField("newFeature", new MatrixUDT())
    ))
  }
}
